ROC and precision-recall curves for individual multivariate methods and combinations thereof.

<p>ROC curves and precision-recall curves obtained for the prediction of one representative network with an intermediate number of edges and 300 RILs (network 3 of sub-challenge A300). We compare the performance of all four individual methods (RF.sf, RF.pi, LASSO and ElNet), the combination of Random Forests selection frequency and LASSO (RF.sf+LASSO), the combination of all four approaches (RF.sf+RF.pi+ElNet+LASSO) as well as the filtered committee we submitted to the challenge ({RF.sf+RF.pi+ElNet}|LASSO). Left: ROC curves. Right: precision-recall curves. The differences in performance between the methods are more apparent in the precision-recall curves.